RESEARCH: INFLUENZA
FOLDING PROJECT #18462 PROFILE

PROJECT TEAM

Manager(s): Dylan Novack
Institution: Temple University
Project URL: View Project Website

WORK UNIT INFO

Atoms: 14,121
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are small proteins being designed to fight diseases like the flu. Researchers are using computer simulations to see how changes to miniproteins affect their ability to bind to viruses, hoping to make them better drugs.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Designed miniproteins are a class of biomolecules with intermediate sizes—larger than small-molecule drugs, but smaller than monoclonal antibodies.

Miniproteins can be computationally designed to tightly bind protein targets for use as potential therapeutics, a promising new avenue for treating infectious disease. Hemagglutinin is a viral fusion protein that allows H1 influenza A (HA) to bind sialic acid on cell surfaces, as well as being involved in the post-endocytosis mechanism of cellular infection.

The Baker lab at University of Washington has developed de novo designed miniproteins that bind hemagglutinin, and improved their binding through affinity maturation (Chevalier et al.

2017).

Many of the mutations seen in affinity-matured sequences are not found in the binding interface, and it remains an open question how these changes lead to higher affinity.

Furthermore, many of the computational predictions of how single-point mutations affect binding deviate significantly from the experimentally determined values. Could all-atom molecular simulation approaches achieve more accurate predictions? In this set of simulations, we aim to use massively parallel expanded ensemble simulations to predict mutational effects on affinities to hemagglutinin.

By pairing these simulations with other simulations aimed at modeling the binding reactions of these miniproteins to hemagglutinin, we aim to have a relatively complete picture of a miniprotein-target binding reaction and how mutations affect it.

These studies are a large-scale investigation on how miniprotein binding reactions work in atomic detail, towards a better understanding of computational design and modulation of miniprotein therapeutics.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

miniproteins

Engineered proteins of intermediate size.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Miniproteins are designed proteins with sizes between small-molecule drugs and monoclonal antibodies. They can be engineered to bind specific protein targets, making them potential therapeutics for treating diseases.


therapeutics

Substances used for treating diseases.

Scientific: Pharmaceuticals
Medicine / Drug Development

Therapeutics are medical treatments that aim to cure, prevent, or alleviate diseases. This can include drugs, vaccines, and other therapies.


hemagglutinin

A viral protein that allows influenza A virus to bind to cells.

Scientific: Biotechnology
Virology / Influenza Virus

Hemagglutinin is a surface protein found on the influenza A virus. It plays a crucial role in allowing the virus to attach to and infect host cells by binding to sialic acid molecules on cell surfaces.


affinity maturation

Process of improving the binding affinity of antibodies.

Scientific: Biotechnology
Immunology / Antibody Engineering

Affinity maturation is a process where antibodies are modified to bind more strongly to their target antigens. This typically involves introducing mutations into the antibody genes, leading to variations in the antibody structure that enhance its binding ability.


molecular simulation

Computer-based modeling of molecular interactions.

Scientific: Biotechnology
Computational Biology / Drug Discovery

Molecular simulation is a computational technique used to study the behavior and properties of molecules. It involves simulating the movements and interactions of atoms and molecules over time, allowing researchers to understand how they behave in different environments.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:45
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:45
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 EPYC 7B12 64-CORE 64 14,719 942,016 AMD
2 RYZEN 7 5700G 16 38,421 614,736 AMD
3 RYZEN 7 7700X 8-CORE 16 34,728 555,648 AMD
4 RYZEN 7 5800X3D 8-CORE 16 32,599 521,584 AMD
5 RYZEN 7 5700X 8-CORE 16 27,731 443,696 AMD
6 12TH GEN CORE I7-12700K 20 21,865 437,300 Intel
7 RYZEN 9 5950X 16-CORE 32 13,347 427,104 AMD
8 RYZEN 7 5800X 8-CORE 16 22,513 360,208 AMD
9 11TH GEN CORE I7-11700K @ 3.60GHZ 16 21,070 337,120 Intel
10 RYZEN 7 3800X 8-CORE 16 20,422 326,752 AMD
11 RYZEN 5 5600 6-CORE 12 25,898 310,776 AMD
12 CORE I7-9700K CPU @ 3.60GHZ 8 33,922 271,376 Intel
13 RYZEN 9 5900X 12-CORE 24 11,244 269,856 AMD
14 RYZEN 9 3900X 12-CORE 24 10,867 260,808 AMD
15 12TH GEN CORE I7-12700 20 12,846 256,920 Intel
16 11TH GEN CORE I9-11900K @ 3.50GHZ 16 12,598 201,568 Intel
17 RYZEN 5 3500 6-CORE 6 32,111 192,666 AMD
18 RYZEN 7 3700X 8-CORE 16 10,252 164,032 AMD
19 RYZEN 5 3600 6-CORE 12 12,502 150,024 AMD
20 CORE I7-5930K CPU @ 3.50GHZ 12 10,818 129,816 Intel
21 CORE I7-7700K CPU @ 4.20GHZ 8 15,680 125,440 Intel
22 CORE I7-5820K CPU @ 3.30GHZ 12 10,320 123,840 Intel
23 RYZEN 5 5600X 6-CORE 12 9,382 112,584 AMD
24 CORE I9-8950HK CPU @ 2.90GHZ 12 7,933 95,196 Intel
25 CORE I7-8705G CPU @ 3.10GHZ 8 11,464 91,712 Intel
26 CORE I7-6700K CPU @ 4.00GHZ 8 10,283 82,264 Intel
27 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,959 63,672 Intel
28 XEON CPU E3-1245 V3 @ 3.40GHZ 8 7,855 62,840 Intel
29 CORE I7-3770K CPU @ 3.50GHZ 8 7,675 61,400 Intel
30 APPLE M1 8 6,989 55,912 Apple
31 RYZEN 5 5500U 12 3,054 36,648 AMD